The glycine receptor (GlyR) is by far the best-characterized pentameric ligand-gated ion channel, with several high-resolution structures from X-ray crystallography, cryoelectron microscopy (cryo-EM), and modeling. Nonetheless, the significance of the currently available open-pore conformations is debated due to their diversity in the pore geometry. Here, we discuss the physiological significance of existing models of the GlyR active state based on conductance and selectivity measurements by computational electrophysiology. The results support the conclusion that the original cryo-EM reconstruction of the active state obtained in detergents as well as its subsequent refinement by molecular dynamics simulations are likely to be non-physiological as they feature artificially dilated ion pores. In addition, the calculations indicate that a physiologically relevant open pore should be constricted within a radius of 2.5 and 2.8 Å, which is consistent with previous modeling, electrophysiology measurements, and the most recent cryo-EM structures obtained in a native lipid membrane environment.Recently, we reported the simulation of a stable open state of the glycine receptor. Central to the stability of the simulations was the behavior of the highly conserved leucine residues at the 9' gate, which were found to rotate into adjacent pockets, thus providing a structural rationale for decades of biochemical observations. In contrast, a previously reported model from Cerdan et al. (2018) resembled a more collapsed state. However, in support of their model, they draw attention to the agreement between calculated and experimental conductance measurements and argue that our model tends to overestimate ion flow. Here, we argue that there are many pitfalls with this approach and that the apparent agreement most likely reflects a fortuitous cancellation of errors. The computed values are highly sensitive to very small changes in model parameters. It is also likely that polarization effects will be very significant, and these have not yet been considered.An organism's ability to recognize and respond quickly and appropriately to pathogenic stimuli is a fundamental aspect of innate immunity. Harnessing the dynamic nature of fluorescent microscopy and the resolution of cryo-electron microscopy, Moncrieffe et al. (2020) characterize MyD88-only filaments and provide insight into the mechanisms underlying innate immune signaling.In this issue of Structure, Kaelber et al. (2020) use cryo-EM and synthetic decoy maps to reveal the patterning of 10 polymerase complexes within FAKV, a Reoviridae family member containing 9 genome segments. Their findings support a model for FAKV assembly that has implications for the entire Reoviridae family.Rumination is a characteristic feature of several clinical disorders (e.g., major depressive disorder, insomnia disorder). Emerging evidence suggests that a reduced flexibility in the balance between proactive and reactive control might be related to trait rumination. This study aimed to investigate the proactive-reactive control balance in the context of trait rumination. In the current study, we investigated behavioral performance and event-related potentials (ERPs) while participants were performing an AX- Continuous Performance Task, to evaluate whether a shift towards more reactive control (i.e., conflict monitoring and resolution) at the expense of proactive control (i.e., maintenance and updating of task-relevant information) is associated with increased trait rumination. Our behavioral results as well as our ERP results did not demonstrate that a shift towards more reactive control at the expense of proactive control was associated with increased trait rumination. Future research is needed to investigate the proactive-reactive control balance in the context of trait rumination. This study is the first to explore the recruitment dynamics of cognitive control using behavioral as well as electrophysiological measures in the context of rumination.N6-methyladenosine (m6A) is the most abundant mRNA nucleotide modification and regulates critical aspects of cellular physiology and differentiation. m6A is thought to mediate its effects through a complex network of interactions between different m6A sites and three functionally distinct cytoplasmic YTHDF m6A-binding proteins (DF1, DF2, and DF3). In contrast to the prevailing model, we show that DF proteins bind the same m6A-modified mRNAs rather than different mRNAs. Furthermore, we find that DF proteins do not induce translation in HeLa cells. Instead, the DF paralogs act redundantly to mediate mRNA degradation and cellular differentiation. The ability of DF proteins to regulate stability and differentiation becomes evident only when all three DF paralogs are depleted simultaneously. Our study reveals a unified model of m6A function in which all m6A-modified mRNAs are subjected to the combined action of YTHDF proteins in proportion to the number of m6A sites.The SARS-CoV-2 pandemic that causes COVID-19 respiratory syndrome has caused global public health and economic crises, necessitating rapid development of vaccines and therapeutic countermeasures. The world-wide response to the COVID-19 pandemic has been unprecedented with government, academic, and private partnerships working together to rapidly develop vaccine and antibody countermeasures. Many of the technologies being used are derived from prior government-academic partnerships for response to other emerging infections.Early detection and effective treatment of severe COVID-19 patients remain major challenges. Here, we performed proteomic and metabolomic profiling of sera from 46 COVID-19 and 53 control individuals. We then trained a machine learning model using proteomic and metabolomic measurements from a training cohort of 18 non-severe and 13 severe patients. The model was validated using 10 independent patients, 7 of which were correctly classified. Targeted proteomics and metabolomics assays were employed to further validate this molecular classifier in a second test cohort of 19 COVID-19 patients, leading to 16 correct assignments. We identified molecular changes in the sera of COVID-19 patients compared to other groups implicating dysregulation of macrophage, platelet degranulation, complement system pathways, and massive metabolic suppression. https://www.selleckchem.com/products/ABT-869.html This study revealed characteristic protein and metabolite changes in the sera of severe COVID-19 patients, which might be used in selection of potential blood biomarkers for severity evaluation.